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Process-Driven Applications (PDA) require less coding, for their business logic is defined by a business process model which can be executed by a process engine. However, inconsistencies between process model and dependent source code artifacts cause runtime errors and reduce development productivity. This paper targets at making the development of PDAs more efficient: It proposes a broader approach to statical analysis which also covers consistency constraints between model and code. When integrated into common analysis tools or a continuous integration pipeline, defects like broken code references or data-flow anomalies can be detected at an early stage without launching the entire application and its process interpretation engine. The approach is demonstrated by a prototype called viadee Process Application Validator (vPAV), which was developed for BPMN-based process models. The prototype has already been used in various BPM projects, attesting high benefit and potential.
There are many challenges in identifying and managing a disruptive innovation stemming from the limited knowledge on how it unfolds over time. Researchers have identified early signals and ex ante conditions that indicate its occurrence. However, an analysis from a process view acknowledging the underlying dynamics is yet to be done. By taking a process view within a systematic literature review, we analyse the scattered findings on the process of disruptive innovation to identify events and actions leading to a disruptive effect over time. We challenge the understanding of disruptive innovation as an outcome and the linearity of the process by proposing that disruptive innovation can be understood as occurring through emergent dynamics. These dynamics are constituted by: (a) the timing of entry and underlying processes that influences (b) the synchronization of events and actions and is shaped by (c) the adaptability of strategic actions. Thus, we complexify the concept of disruptive innovation to support the understanding of its unfolding and advance its manageability.